I'll check it out, thanks for sharing Alexander! On Dec 13, 2016 4:58 PM, "Ulanov, Alexander" <alexander.ula...@hpe.com> wrote:
> Dear Spark developers and users, > > > HPE has open sourced the implementation of the belief propagation (BP) > algorithm for Apache Spark, a popular message passing algorithm for > performing inference in probabilistic graphical models. It provides exact > inference for graphical models without loops. While inference for graphical > models with loops is approximate, in practice it is shown to work well. The > implementation is generic and operates on factor graph representation of > graphical models. It handles factors of any order, and variable domains of > any size. It is implemented with Apache Spark GraphX, and thus can scale to > large scale models. Further, it supports computations in log scale for > numerical stability. Large scale applications of BP include fraud detection > in banking transactions and malicious site detection in computer networks. > > > Source code: https://github.com/HewlettPackard/sandpiper > > > Best regards, Alexander >
